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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">63</journal-id>
      <journal-id journal-id-type="index">urn:lsid:arphahub.com:pub:0E0032F4-55AE-5263-8B3C-F4DD637C30C2</journal-id>
      <journal-title-group>
        <journal-title xml:lang="en">Biodiversity Information Science and Standards</journal-title>
        <abbrev-journal-title xml:lang="en">BISS</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="epub">2535-0897</issn>
      <publisher>
        <publisher-name>Pensoft Publishers</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.3897/tdwgproceedings.1.20285</article-id>
      <article-id pub-id-type="publisher-id">20285</article-id>
      <article-id pub-id-type="manuscript">7900</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Conference Abstract</subject>
        </subj-group>
        <subj-group subj-group-type="conference-part">
          <subject>Posters</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Biodiversity Information Serving Our Nation (BISON) now with more than 1/3 billion species occurrences</article-title>
      </title-group>
      <contrib-group content-type="authors">
        <contrib contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Simpson</surname>
            <given-names>Annie</given-names>
          </name>
          <email xlink:type="simple">asimpson@usgs.gov</email>
          <uri content-type="orcid">https://orcid.org/0000-0001-8338-5134</uri>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Martín</surname>
            <given-names>Elizabeth</given-names>
          </name>
          <xref ref-type="aff" rid="A2">2</xref>
        </contrib>
      </contrib-group>
      <aff id="A1">
        <label>1</label>
        <addr-line content-type="verbatim">US Geological Survey, Reston, United States of America</addr-line>
        <institution>US Geological Survey</institution>
        <addr-line content-type="city">Reston</addr-line>
        <country>United States of America</country>
      </aff>
      <aff id="A2">
        <label>2</label>
        <addr-line content-type="verbatim">U.S. Geological Survey, Gainesville, FL, United States of America</addr-line>
        <institution>U.S. Geological Survey</institution>
        <addr-line content-type="city">Gainesville, FL</addr-line>
        <country>United States of America</country>
      </aff>
      <author-notes>
        <fn fn-type="corresp">
          <p>Corresponding author: Annie Simpson (<email xlink:type="simple">asimpson@usgs.gov</email>).</p>
        </fn>
        <fn fn-type="edited-by">
          <p>Academic editor: </p>
        </fn>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2017</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>15</day>
        <month>08</month>
        <year>2017</year>
      </pub-date>
      <volume>1</volume>
      <elocation-id>e20285</elocation-id>
      <uri content-type="arpha" xlink:href="http://openbiodiv.net/B82AD6EF-0118-55EF-ADD0-9F1CA4BF60A8">B82AD6EF-0118-55EF-ADD0-9F1CA4BF60A8</uri>
      <uri content-type="zenodo_dep_id" xlink:href="https://zenodo.org/record/1140533">1140533</uri>
      <history>
        <date date-type="received">
          <day>14</day>
          <month>08</month>
          <year>2017</year>
        </date>
      </history>
      <permissions>
        <copyright-statement>Annie Simpson, Elizabeth Martín</copyright-statement>
        <license license-type="creative-commons-attribution" xlink:href="http://creativecommons.org/licenses/by/4.0" xlink:type="simple">
          <license-p>This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (CC-BY), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.</license-p>
        </license>
      </permissions>
      <abstract>
        <label>Abstract</label>
        <p>Biodiversity Information Serving Our Nation (BISON) is a web-based resource (<ext-link ext-link-type="uri" xlink:href="https://bison.usgs.gov">https://bison.usgs.gov</ext-link>) for finding and accessing occurrence records of species found in the United States (US), its Territories and <ext-link ext-link-type="uri" xlink:href="https://oceanservice.noaa.gov/facts/eez.html">marine Exclusive Economic Zones</ext-link>. BISON serves as a data aggregator that compiles and standardizes species occurrence data from multiple data providers, and now contains more than 1/3 billion species occurrences. BISON uses the Integrated Taxonomic Information System (<ext-link ext-link-type="uri" xlink:href="https://www.itis.gov/">ITIS</ext-link>) to standardize species names in searches. It is also the US hub of the Global Biodiversity Information Facility (<ext-link ext-link-type="uri" xlink:href="http://www.gbif.org/">GBIF</ext-link>) and obtains much of its data from that resource. BISON also enables access to numerous federal datasets such as the US Forest Service's Forest Inventory and Analysis and the US Geological Survey's Bird Banding Lab. BISON accepts all US species occurrence datasets that are <ext-link ext-link-type="uri" xlink:href="https://github.com/tdwg/dwc">Darwin Core</ext-link>-compatible, but especially seeks to mobilize pollinator and invasive species occurrence datasets. Data from BISON can also be accessed via various map services, and the US National Parks Service's Species Checklists application is currently available in a development environment as an example of use of BISON web services.</p>
      </abstract>
      <kwd-group>
        <label>Keywords</label>
        <kwd>species occurrences</kwd>
        <kwd>species database</kwd>
        <kwd>species lists</kwd>
      </kwd-group>
      <conference>
        <conf-date>1-6 October 2017</conf-date>
        <conf-name>TDWG 2017 Annual Conference</conf-name>
        <conf-acronym>TDWG 2017</conf-acronym>
        <conf-loc>Ottawa, Canada</conf-loc>
        <conf-theme>Data Integration in a Big Data Universe: Associating Occurrences with Genes, Phenotypes, and Environments</conf-theme>
      </conference>
      <counts>
        <fig-count count="0"/>
        <table-count count="0"/>
        <ref-count count="0"/>
      </counts>
    </article-meta>
    <notes>
      <sec sec-type="Presenting author">
        <title>Presenting author</title>
        <p>Annie Simpson</p>
      </sec>
      <sec sec-type="Presented at">
        <title>Presented at</title>
        <p>TDWG 2017: Poster Session</p>
      </sec>
      <sec sec-type="Funding program">
        <title>Funding program</title>
        <p>United States Geological Survey</p>
      </sec>
      <sec sec-type="Hosting institution">
        <title>Hosting institution</title>
        <p>United States Geological Survey</p>
      </sec>
    </notes>
  </front>
  <back>
    <ack>
      <title>Acknowledgements</title>
      <p>Elizabeth Martín is the senior author but cannot attend the meeting so Annie Simpson submitted the abstract and is the corresponding author. The authors would like to acknowledge the U.S. Geological Survey's Core Science Analytics Synthesis and Libraries Program.</p>
    </ack>
  </back>
</article>
